Alternatives and similar repositories for differentiable-subset-pruning:

Users that are interested in differentiable-subset-pruning are comparing it to the libraries listed below

• VITA-Group / BERT-Tickets
  [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…
  ☆140Updated 3 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆61Updated 3 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆73Updated 4 years ago
• IBM / PoWER-BERT
  Method to improve inference time for BERT. This is an implementation of the paper titled "PoWER-BERT: Accelerating BERT Inference via Pro…
  ☆61Updated 2 years ago
• McGill-NLP / polytropon
  ☆52Updated last year
• jxhe / efficient-knnlm
  Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
  ☆72Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆75Updated last year
• Shark-NLP / CAB
  ☆30Updated last year
• VITA-Group / EarlyBERT
  [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …
  ☆18Updated 3 years ago
• ptlmasking / maskbert
  ☆20Updated 4 years ago
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆60Updated 2 years ago
• sai-prasanna / bert-experiments
  ☆19Updated 4 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆39Updated 3 years ago
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆44Updated 2 years ago
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆95Updated 2 years ago
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆45Updated last year
• cliang1453 / SAGE
  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
  ☆30Updated 3 years ago
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆79Updated 4 years ago
• jungokasai / deep-shallow
  ☆44Updated 4 years ago
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆195Updated last year
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆67Updated last year
• Hunter-DDM / stablemoe
  Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"
  ☆45Updated 2 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆100Updated 2 years ago
• JetRunner / PABEE
  Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
  ☆65Updated 3 years ago
• cheneydon / efficient-bert
  This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …
  ☆32Updated last year
• cliang1453 / super-structured-lottery-tickets
  Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
  ☆17Updated 3 years ago
• facebookresearch / ELECTRA-Fewshot-Learning
  This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.
  ☆48Updated 2 years ago
• intersun / CoDIR
  Code for EMNLP 2020 paper CoDIR
  ☆41Updated 2 years ago